2001
DOI: 10.1109/18.915697
|View full text |Cite
|
Sign up to set email alerts
|

Asymptotic eigenvalue distribution of block Toeplitz matrices and application to blind SIMO channel identification

Abstract: Abstract-Szegö's theorem states that the asymptotic behavior of the eigenvalues of a Hermitian Toeplitz matrix is linked to the Fourier transform of its entries. This result was later extended to block Toeplitz matrices, i.e., covariance matrices of multivariate stationary processes. The present work gives a new proof of Szegö's theorem applied to block Toeplitz matrices. We focus on a particular class of Toeplitz matrices, those corresponding to covariance matrices of single-input multiple-output (SIMO) chann… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
53
0

Year Published

2008
2008
2013
2013

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 99 publications
(53 citation statements)
references
References 23 publications
0
53
0
Order By: Relevance
“…In this case however the matrix is a block circulant matrix and Szego's theorem cannot be directly applied. However using the results in [9] the block circulant matrix in (9) can be transformed to an equivalent matrix, from an eigenvalue point of view, thus allowing us to obtain an asymptotic expression of the maximum capacity for any finite number of users K.…”
Section: Channel Matrixmentioning
confidence: 99%
See 4 more Smart Citations
“…In this case however the matrix is a block circulant matrix and Szego's theorem cannot be directly applied. However using the results in [9] the block circulant matrix in (9) can be transformed to an equivalent matrix, from an eigenvalue point of view, thus allowing us to obtain an asymptotic expression of the maximum capacity for any finite number of users K.…”
Section: Channel Matrixmentioning
confidence: 99%
“…Now taking the two dimensional Fourier transform of each T(τ u,v ) we can find the asymptotically equivalent matrix, from an eigenvalue point of view, of the matrix in (9). This is the circulant n r × n r matrix: …”
Section: Channel Matrixmentioning
confidence: 99%
See 3 more Smart Citations